Applied Energetics (AERG) Operating Margin (2011 - 2026)
Applied Energetics (AERG) posted Operating Margin of -6934.90% for Q2 2026, down 1552.45 percentage points from -5382.46% a year earlier.
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Analysis
Applied Energetics (AERG) Operating Margin (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Applied Energetics was -5149.65%, down 4513.77 percentage points year-over-year; for FY2025, it was -3233.57%, down 2855.38 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of -255.13 percentage points (FY2020 to FY2025).
- In prior years, Applied Energetics' Operating Margin was -378.19% in FY2024 (-97.12 pp), -281.07% in FY2023 (+160.12 pp) and -441.18% in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Operating Margin since Q1 2020.
- On a year-over-year basis, Operating Margin increased in 1 of the last seven quarters, with an average year-over-year change of -2140.61 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q2 2023, with a gain of 487.93 percentage points; the weakest was Q4 2025, with a drop of 5320.13 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | 12.36% |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | 10.36% |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 27.92% |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 18.37% |
| 10 | Applied Energetics | 195.41 Mn | 182.39 Mn | 40,430.00 | -6,934.90% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6,934.90% |
| Dec 31, 2025 | -5,598.60% |
| Sep 30, 2025 | -3,643.80% |
| Jun 30, 2025 | -5,382.46% |
| Mar 31, 2025 | -1,480.64% |
| Dec 31, 2024 | -278.47% |
| Sep 30, 2024 | -317.63% |
| Jun 30, 2024 | -264.04% |
| Mar 31, 2024 | -1,946.91% |
| Dec 31, 2023 | -206.05% |
| Sep 30, 2023 | -256.67% |
| Jun 30, 2023 | -327.01% |
| Mar 31, 2023 | -398.36% |
| Dec 31, 2022 | -276.94% |
| Sep 30, 2022 | -161.64% |
| Jun 30, 2022 | -814.94% |
| Sep 30, 2020 | -770.28% |
| Mar 31, 2020 | -12,195.84% |
| Sep 30, 2014 | -10,576.21% |
| Jun 30, 2014 | -9,918.03% |
API Access
Applied Energetics Operating Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-margin&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "AERG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-margin&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();